Infrarde image denoising by fuzzy threshold based on Bandelets transform

Fei Qi, Yan Jun Li, Ke Zhang

科研成果: 期刊稿件文章同行评审

2 引用 (Scopus)

摘要

A kind of infrared image denoising approach by fuzzy threshold based on Bandelets transform was given. The approach has the good quality of both Bandelets transform and fuzzy threshold on denoising. As making Bandelets transform to an infrared image, the noisy image denoising can be done by applying a fuzzy threshold to the Bandelets coefficients. With Bandelets transform, a method of compression rate threshold selecting was given against denoising. Comparing with hard thresholding based on orthogonal wavelet, the simulation results show that the image denoising effect of this approach is better. Furthermore, the given approach can reduce the noise of infrared image and preserve the edges of image well.

源语言英语
页(从-至)2564-2567
页数4
期刊Guangzi Xuebao/Acta Photonica Sinica
37
12
出版状态已出版 - 12月 2008

指纹

探究 'Infrarde image denoising by fuzzy threshold based on Bandelets transform' 的科研主题。它们共同构成独一无二的指纹。

引用此